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[[90,4,9]] d =
n
90
k
4
d
9
kd²/n
3.6
w
5
X/Z
1

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Distance

X/Z asymmetry 1 · d_X = 9, d_Z = 9 · w_X = 5, w_Z = 5 (max(d_X,d_Z)/min(d_X,d_Z); each side carries its own earned tier: = certified exact, ≤ witness upper bound)
d_X 9 · witness weight 9 (claimed exact)
witness operator (support, 9 qubits)
[0, 1, 24, 30, 31, 50, 59, 70, 87]
d_Z 9 · witness weight 9 (claimed exact)
witness operator (support, 9 qubits)
[1, 9, 35, 37, 50, 51, 65, 66, 72]
certificate exact, d = 9 · scipy/HiGHS MILP
X: no logical < 9 exists; Z: no logical < 9 exists

Diagnostics

computed by the verifier from the parity checks, the layout, and the stored witnesses; shown as evidence, not used for ranking
girth H_X 6 · H_Z 6 (shortest cycle of each side’s Tanner graph; longer is friendlier to belief propagation)
check weights H_X 5 · H_Z 5
qubit degrees H_X 2–3 (mean 2.5) · H_Z 2–3 (mean 2.5)
trapping sets H_X (1,2)×45 (2,2)×45 (3,2)×45 (smallest syndrome weight at each size, connected sets of up to 3 qubits)
full (size, syndrome weight): count census for H_X
(1,2): 45 (1,3): 45 (2,2): 45 (2,3): 270 (2,4): 135 (3,2): 45 (3,3): 855 (3,4): 1485 (3,5): 540 (3,6): 270 (3,7): 45
trapping sets H_Z (1,2)×45 (2,2)×45 (3,2)×45 (smallest syndrome weight at each size, connected sets of up to 3 qubits)
full (size, syndrome weight): count census for H_Z
(1,2): 45 (1,3): 45 (2,2): 45 (2,3): 270 (2,4): 135 (3,2): 45 (3,3): 855 (3,4): 1485 (3,5): 540 (3,6): 270 (3,7): 45

Circuit tier

syndrome-extraction memory circuits committed under circuits/90-4-9/ · canonical noise recipe, 9 rounds, stim 1.16.0
d_circ ≤ 9 (min over bases; penalty-only, clamped to ≤ d)
d_circ^X 9 · fault-set witness of 9 mechanisms (claimed upper_bound)
witness fault set (mechanism indices in the committed .dem, 9)
[11, 15, 54, 58, 63, 67, 91, 114, 116]
d_circ^Z 9 · fault-set witness of 9 mechanisms (claimed upper_bound)
witness fault set (mechanism indices in the committed .dem, 9)
[60, 72, 174, 188, 567, 571, 1231, 1245, 1646]
no measured logical error rate yet; d_circ is a floor, and the measured tier records the prefactor it cannot see

Construction & provenance

authors @cbjuan
provenance submitted through the challenge
novelty novelty not audited
construction Bivariate bicycle code over F_2[x,y]/(x5-1, y9-1), weight-5 mixed-monomial polynomials A = 1 + x2 y8 + x3 y7, B = 1 + x2 y6, found by an LLM-guided evolutionary search (OpenEvolve, weight-5 mixed-monomial campaign) over CSS BB polynomial pairs. This connected (ell=5, m=9) presentation is BLISS-isomorphic to one of 2 identical connected components of a disconnected parent BB code (ell=10, m=9, k=8, n=180, A = 1 + x4 y8 + x6 y7, B = 1 + x4 y6) whose exact distance d=9 was established by MILP in the source repository; the component presentation used here was independently re-verified exact (d_X=d_Z=9, no lighter logical on either side) with this repository's own verify/certify.py (scipy/HiGHS MILP, tlim=600s, 70s wall time).
model GPT 5.6 Sol, Claude Opus 5 (claimed, not verified)
builds on an internal weight-5 bivariate-bicycle evolutionary campaign in github.com/qiskit-community/qcode-discovery (branch weight5-campaigns, not part of a public branch at the time of this submission -- this submission's own distance/CSS claims are independently re-derived and re-verified using only this repository's tools and do not rely on that source being externally checkable)
date 2026-09-07
notes Independently corroborated with this repo's own tools before submission: research/kit/surrogate.py distance_rand at 5,000 and 50,000 trials both returned d=9; research/kit/distance.py decoder_distance (BP+OSD, 200,000 injected-error trials) returned d_heuristic=9, verdict=corroborated; research/kit/distance.py exact_distance (scipy/HiGHS MILP) proved d_X=d_Z=9 exact. Per the source campaign's own per-candidate model-attribution log, this code was independently discovered by both GPT 5.6 Sol (first, chronologically, within the ensemble run) and Claude Opus 5 (rediscovered later, independently, in the same run) -- this is recorded as joint/dual attribution, not resolved to a single model. This submission's re-verification and packaging was done separately by Claude Sonnet 5.
family bivariate bicycle (a tag, not a ranking)
locality unrestricted (computed from the layout)
weight class weight ≤ 6 (computed)

How this code was found

the research note submitted with this code · raw markdown · all notes

[[90,4,9]] — weight-5 mixed-monomial bivariate bicycle code

Direction & hypothesis

Target: the unrestricted x weight-6 (and looser) cells. This code has maximum check weight 5, one below the weight-6 ceiling. As with the companion [[96,4,10]], [[140,6,10]], and [[180,4,14]] submissions, the direction here was mining an already-completed weight-5 bivariate-bicycle (BB) evolutionary campaign in a companion repository for a small, directly constructible, strongly-evidenced code, rather than running a fresh search in this repository.

What was searched

The source campaign (an internal weight-5 bivariate-bicycle evolutionary campaign in github.com/qiskit-community/qcode-discovery, branch weight5-campaigns -- not part of a public branch at the time of this submission, so nothing below relies on that source being externally checkable) ran an LLM-guided evolutionary search (OpenEvolve) over weight-5 mixed-monomial CSS BB polynomial pairs (A, B), screening by k, CSS commutation, and a BP-OSD distance estimate, then MILP-verifying standout candidates exactly. This code is a direct match: a disconnected parent presentation at (ell=10, m=9) with k=8, n=180 decomposes into 2 identical connected components; one component has an explicit small BB presentation at (ell=5, m=9), A = 1 + x^2y^8 + x^3y^7, B = 1 + x^2y^6, matched to the parent via BLISS canonical-form isomorphism (evaluation/tanner_equivalence.py in the source repo), which transfers the parent's exact distance to the component.

No fresh search ran in *this* repository; the work here was independent re-verification of an already-found candidate using this repo's own trusted tools, per research/AUTORESEARCH.md.

Evidence trail

Rebuilt (H_X, H_Z) from the polynomials above using this repo's own research/kit/bb.py:build_bb, then re-confirmed every claim independently with this repo's own tools before submitting:

  • research/kit/css.py:verify_css / compute_k — CSS commutation holds,
  • k = 4 exactly (GF(2) rank), n = 90, max check weight 5 on both sides.

  • research/kit/surrogate.py:distance_rand — randomized upper-bound search
  • at 5,000 and again at 50,000 trials, both returning d = 9 (converged).

  • research/kit/distance.py:decoder_distance — independent BP+OSD
  • mechanism, 200,000 injected-error trials, d_heuristic = 9, `verdict = corroborated`.

  • research/kit/distance.py:exact_distance (scipy/HiGHS MILP via
  • verify/certify.py) — proved exact: no nontrivial logical lighter than weight 9 exists on the X side or the Z side. Wall time 70s at `tlim = 600s` (k = 4 solves per side, well inside the envelope described in CONTRIBUTING.md).

Final claim: exact, d = 9, certified by this repository's own MILP solver, not only by the source repository's internal claim.

Dead ends

Not applicable — this submission mined an existing, already-vetted campaign result rather than running a new search in this repository.

Tools

Discovered independently by both GPT 5.6 Sol and Claude Opus 5 within the same LLM-ensemble evolutionary run in the source campaign (per that campaign's own per-candidate model-attribution log: chronologically, GPT 5.6 Sol emitted this exact candidate first, and Claude Opus 5 independently rediscovered it later in the same run). This is recorded honestly as joint/dual attribution rather than collapsed to a single model. This submission's re-verification and packaging in this repository — the work described under "Evidence trail" above — was done separately by Claude Sonnet 5, using only this repository's own tooling (research/kit/, verify/).

Reproduction

from research.kit.bb import build_bb
HX, HZ = build_bb(l=5, m=9, A_terms=[(0,0),(2,8),(3,7)], B_terms=[(0,0),(2,6)])

verify/certify.py codes/90-4-9.json --tlim 600 reproduces the exact MILP certification (70s wall time).

Parity checks

X-checks 45 (max weight 5) · Z-checks 45 (max weight 5)
H_X (45 checks, sparse supports)
[0, 26, 34, 45, 69] [1, 18, 35, 46, 70] [2, 19, 27, 47, 71] [3, 20, 28, 48, 63] [4, 21, 29, 49, 64] [5, 22, 30, 50, 65] [6, 23, 31, 51, 66] [7, 24, 32, 52, 67] [8, 25, 33, 53, 68] [9, 35, 43, 54, 78] [10, 27, 44, 55, 79] [11, 28, 36, 56, 80] [12, 29, 37, 57, 72] [13, 30, 38, 58, 73] [14, 31, 39, 59, 74] [15, 32, 40, 60, 75] [16, 33, 41, 61, 76] [17, 34, 42, 62, 77] [7, 18, 44, 63, 87] [8, 19, 36, 64, 88] [0, 20, 37, 65, 89] [1, 21, 38, 66, 81] [2, 22, 39, 67, 82] [3, 23, 40, 68, 83] [4, 24, 41, 69, 84] [5, 25, 42, 70, 85] [6, 26, 43, 71, 86] [8, 16, 27, 51, 72] [0, 17, 28, 52, 73] [1, 9, 29, 53, 74] [2, 10, 30, 45, 75] [3, 11, 31, 46, 76] [4, 12, 32, 47, 77] [5, 13, 33, 48, 78] [6, 14, 34, 49, 79] [7, 15, 35, 50, 80] [17, 25, 36, 60, 81] [9, 26, 37, 61, 82] [10, 18, 38, 62, 83] [11, 19, 39, 54, 84] [12, 20, 40, 55, 85] [13, 21, 41, 56, 86] [14, 22, 42, 57, 87] [15, 23, 43, 58, 88] [16, 24, 44, 59, 89]
H_Z (45 checks, sparse supports)
[0, 30, 45, 65, 73] [1, 31, 46, 66, 74] [2, 32, 47, 67, 75] [3, 33, 48, 68, 76] [4, 34, 49, 69, 77] [5, 35, 50, 70, 78] [6, 27, 51, 71, 79] [7, 28, 52, 63, 80] [8, 29, 53, 64, 72] [9, 39, 54, 74, 82] [10, 40, 55, 75, 83] [11, 41, 56, 76, 84] [12, 42, 57, 77, 85] [13, 43, 58, 78, 86] [14, 44, 59, 79, 87] [15, 36, 60, 80, 88] [16, 37, 61, 72, 89] [17, 38, 62, 73, 81] [3, 18, 46, 63, 83] [4, 19, 47, 64, 84] [5, 20, 48, 65, 85] [6, 21, 49, 66, 86] [7, 22, 50, 67, 87] [8, 23, 51, 68, 88] [0, 24, 52, 69, 89] [1, 25, 53, 70, 81] [2, 26, 45, 71, 82] [12, 27, 47, 55, 72] [13, 28, 48, 56, 73] [14, 29, 49, 57, 74] [15, 30, 50, 58, 75] [16, 31, 51, 59, 76] [17, 32, 52, 60, 77] [9, 33, 53, 61, 78] [10, 34, 45, 62, 79] [11, 35, 46, 54, 80] [21, 36, 56, 64, 81] [22, 37, 57, 65, 82] [23, 38, 58, 66, 83] [24, 39, 59, 67, 84] [25, 40, 60, 68, 85] [26, 41, 61, 69, 86] [18, 42, 62, 70, 87] [19, 43, 54, 71, 88] [20, 44, 55, 63, 89]
Code ID 90-4-9 · download JSON · raw on GitHub